MSc Data Science

Course overview

This MSc focuses on data analysis, statistics, machine learning and data visualisation. You develop practical skills for working with large datasets and applying data-driven methods to areas such as finance, business, healthcare, government and scientific research. The course combines theoretical knowledge with practical data-science applications.

Course details

Degree level

Master's

Duration

1 year

Intake

January 2027

Tuition fee

£23,875 / year

Initial deposit

£6,000

Country

England

Campus

Colchester Campus

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

Not recorded here yet: Pakistan-specific requirements.

English Language Requirements

Main English Requirements

Only the tests listed here are shown as accepted for this course.

Entry requirements

General entry requirements

• 2:2 degree or equivalent in subjects such as Mathematics, Statistics, Computer Science, Economics, Operational Research or related fields. • A 2:2 in another subject may be accepted if your degree contains three relevant modules, including mathematics/calculus, statistics/probability and another relevant area such as programming, regression, optimisation or numerical methods. • Applicants below a 2:2 may be considered based on relevant professional/voluntary experience and previous modules. • IELTS 6.0 overall, with a minimum 5.5 in each component.

Scholarships & discounts

Scholarship - 5000 GBP (2:2) Early Bird - 1000 GBP reimbursement on enrollment

Pre-CAS interview

Required

Yes — a Pre-CAS / credibility interview is part of the process

Stage

After the initial deposit is paid

Format

Recorded interview

Course modules

Compulsory: • Applied Regression and Experimental Data Analysis • Applied Statistics • Machine Learning • Data Visualisation • Research Skills and Employability • Dissertation/Project — 60 credits Optional: • 45 credits of optional modules, allowing you to specialise in areas such as programming and machine learning. The course is based in the School of Mathematics, Statistics and Actuarial Science and is designed particularly for graduates with a strong mathematical or computational background.